# coding=utf-8
# Copyright 2024 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

"""Tests for pairs."""
import tensorflow as tf

from dedal import pairs as pairs_lib


class PairsTest(tf.test.TestCase):

  def setUp(self):
    super().setUp()
    tf.random.set_seed(0)

  def test_build(self):
    batch_size = 32
    dim = 5
    inputs = tf.random.uniform((batch_size * 2, dim))
    indices = tf.reshape(tf.range(batch_size *2), (-1, 2))

    result, = pairs_lib.build(indices, inputs)
    self.assertAllEqual(result[4], tf.stack([inputs[8], inputs[9]]))

    # Shift by one the second column.
    indices = tf.stack(
        [indices[:, 0], tf.roll(indices[:, 1], shift=1, axis=0)], axis=1)
    result, = pairs_lib.build(indices, inputs)
    self.assertAllEqual(result[4], tf.stack([inputs[8], inputs[7]]))


if __name__ == '__main__':
  tf.test.main()
